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A System to Classify Treatable Traits in Primary Care

NCT05357274 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2022-05-02

No results posted yet for this study

Summary

This study proposes an approach to address an urgent unmet need in clinical practice, namely a pragmatic method of establishing what is the cause of a patient's complaint and the next steps to address this problem. In this study, the investigators will compare the proposed classification with current best practice of self-report, spirometry and FeNO. The investigators will compare the two approaches with a gold standard of deep characterisation by 3 separate diagnostic tests.

The investigators hypothesize that patients with symptoms of respiratory disease fall into one of four working groups based on accurate knowledge of three parameters, airflow, treatment use and the patient's symptoms.

Conditions

Interventions

DIAGNOSTIC_TEST

Diagnostic testing

Data will be uploaded to a server where algorithms will be deployed that incorporate features related to treatment use and variables of airflow will allocate the care pathway into one of the 4 pathways. Treatment will be directed by this using a validated automated decision support system

Sponsors & Collaborators

  • GlaxoSmithKline

    collaborator INDUSTRY

  • Royal College of Surgeons, Ireland

    lead OTHER

Principal Investigators

  • Richard Costello, Professor · Royal College of Surgeons, Ireland

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-05-16
Primary Completion
2024-05-16
Completion
2024-12-31

Countries

  • Ireland

Study Locations

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Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05357274 on ClinicalTrials.gov